| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AB | AC | AD | AE | AF | AG | AH | AI | AJ | AK | AL | AM | AN | AO | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Team H | Team DC | Nom | Affiliation | 1.1 | 1.2 | 1.3 | 1.4 | 2.1 | 2.2 | 2.3 | 2.4 | 2.5 | 2.6 | 2.7 | 2.8 | 2.9 | 2.10 | 2.11 | 2.12 | 3.1 | 3.2 | 4.1 | 4.2 | 4.3 | Retard H | Note H | Perf DC | Score DC | Rap/Methodo DC | Retard DC | Note DC | Note Cours | Rattrapage | |||||||
2 | 8 | 1 | Mohamed Ali Oulhaj | Data Science | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.5 | 0.75 | 0.5 | 1 | 16.0 | 93.76% | 5.09 | 6 | 11.1 | 13.5 | ||||||||||
3 | 9 | 1 | Romain Lentgen | Data Science | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.25 | 1 | 0.75 | 1 | 15.1 | 93.76% | 5.09 | 6 | 11.1 | 13.1 | ||||||||||
4 | 26 | 1 | Bryan D'aversa | Data Science | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0 | 1 | 0.5 | 1 | 13.9 | 93.76% | 5.09 | 6 | 11.1 | 12.5 | ||||||||||
5 | 44 | 2 | Thibault Groueix | MVA | 1 | 0.25 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 0.5 | 1 | 1 | 1 | 16.5 | 97.62% | 8.31 | 8 | 16.3 | 16.4 | ||||||||||
6 | 64 | 2 | Alexandre Hannebelle | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0.75 | 1 | 18.2 | 97.62% | 8.31 | 8 | 16.3 | 17.3 | ||||||||||
7 | 69 | 3 | Léo Bouloc | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.25 | 1 | 0 | 1 | 13.7 | 96.66% | 7.33 | 8 | 15.3 | 14.5 | ||||||||||
8 | 18 | 4 | Mously Diaw | Data Science | 1 | 0.75 | 1 | 0.75 | 0.75 | 0 | 0.5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 5.7 | 93.50% | 4.93 | 6 | 10.9 | 8.3 | ||||||||||
9 | 56 | 4 | Svetlana SMAGINA | Data Science | 1 | 1 | 1 | 0.75 | 0.75 | 0.75 | 1 | 0.75 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.9 | 93.50% | 4.93 | 6 | 10.9 | 8.9 | OK => 10 | |||||||||
10 | 51 | 5 | Malo Huard | Math aleatoire | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 20.0 | 94.38% | 5.49 | 5 | 10.5 | 15.2 | ||||||||||
11 | 7 | 6 | Frank Charras | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.5 | 1 | 0 | 0 | 14.9 | 97.54% | 8.22 | 7 | 15.2 | 15.1 | ||||||||||
12 | 17 | 7 | Halaleh Kamari | ISG | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.25 | 0 | 1 | 0 | 0 | 9.2 | 10.00% | 0.00 | 6 | 6.0 | 7.6 | ||||||||||
13 | 43 | 7 | Maxence Ory | ISG | 1 | 0 | 0 | 0.75 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 4.9 | 10.00% | 0.00 | 6 | 6.0 | 5.5 | ||||||||||
14 | 3 | 8 | Jamal Gourinda | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 19.0 | 96.12% | 6.83 | 7 | 13.8 | 16.4 | ||||||||||
15 | 30 | 8 | Ali-Taiga Ali | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 18.8 | 96.12% | 6.83 | 7 | 13.8 | 16.3 | ||||||||||
16 | 40 | 9 | Guillaume Salha | MVA | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 19.0 | 94.90% | 5.85 | 7 | 12.9 | 15.9 | ||||||||||
17 | 40 | 10 | Gautier Appert | MVA | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 19.0 | 94.64% | 5.67 | 7 | 12.7 | 15.8 | ||||||||||
18 | 11 | 11 | Pierre-Emmanuel Rey | MASH | 1 | 0.25 | 1 | 0.75 | 0.75 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 17.4 | 90.50% | 3.50 | 5 | 8.5 | 12.9 | ||||||||||
19 | 12 | 11 | Estephe Arnaud | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.5 | 1 | 0.75 | 1 | 17.1 | 90.50% | 3.50 | 5 | 8.5 | 12.8 | ||||||||||
20 | 67 | 11 | Pierre Chemla | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.75 | 0.5 | 0.25 | 1 | 15.7 | 90.50% | 3.50 | 5 | 8.5 | 12.1 | ||||||||||
21 | 79 | 12 | Charles Guille-Escuret | MVA | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | -2 | 15.3 | 91.48% | 3.90 | 5 | 8.9 | 12.1 | |||||||||
22 | 46 | 13 | Fabrice Zapfack | Data Science | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0.5 | 0.5 | 0 | 1 | 12.5 | 94.56% | 5.61 | 6 | 11.6 | 12.1 | ||||||||||
23 | 70 | 13 | Basile Calderan | Data Science | 1 | 0 | 1 | 1 | 0.5 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0.75 | 1 | 0 | 1 | 0 | 0.5 | 0 | 1 | 8.4 | 94.56% | 5.61 | 6 | 11.6 | 10.0 | ||||||||||
24 | 60 | 14 | Loic Dagnas | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0.75 | 1 | 0.5 | 1 | 0.5 | 1 | 0.75 | 1 | 15.9 | 97.06% | 7.72 | 9 | 16.7 | 16.3 | ||||||||||
25 | 62 | 14 | Yassine BEZZA | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.25 | 1 | 0.5 | 1 | 15.5 | 97.06% | 7.72 | 9 | 16.7 | 16.1 | ||||||||||
26 | 49 | 15 | Gurvan L’Hostis | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 20.0 | 98.10% | 8.86 | 9 | 17.9 | 18.9 | ||||||||||
27 | 51 | 15 | Ronan Riochet | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 20.0 | 98.10% | 8.86 | 9 | 17.9 | 18.9 | ||||||||||
28 | 63 | 15 | Arturo RUANO SAN MARTIN | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 19.9 | 98.10% | 8.86 | 9 | 17.9 | 18.9 | ||||||||||
29 | 6 | 16 | Cedric Sautier | MASH | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 18.4 | 95.54% | 6.35 | 9 | 15.3 | 16.9 | ||||||||||
30 | 10 | 16 | Samy BALAA | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 19.2 | 95.54% | 6.35 | 9 | 15.3 | 17.3 | ||||||||||
31 | 22 | 16 | Pierre Sanne | MASH | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0.75 | 1 | 18.1 | 95.54% | 6.35 | 9 | 15.3 | 16.7 | ||||||||||
32 | 72 | 17 | Daniel Brooks | MVA | 1 | 0 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 14.9 | 79.84% | 1.48 | 5 | 6.5 | 10.7 | ||||||||||
33 | 41 | 18 | Alex Auvolat | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 0.75 | 1 | 18.0 | 97.34% | 8.01 | 8 | 16.0 | 17.0 | ||||||||||
34 | 58 | 18 | Emile Enguehard | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 18.8 | 97.34% | 8.01 | 8 | 16.0 | 17.4 | ||||||||||
35 | 29 | 19 | François Deloche | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0.75 | 1 | 0.5 | 1 | 0.75 | 1 | 16.9 | 98.32% | 9.12 | 10 | 19.1 | 18.0 | ||||||||||
36 | 44 | 19 | Fadhel Ayed | MVA | 1 | 0.25 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 0.5 | 1 | 1 | 1 | 16.5 | 98.32% | 9.12 | 10 | 19.1 | 17.8 | ||||||||||
37 | 59 | 19 | Lahlou Salem | MVA | 1 | 0.25 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 18.8 | 98.32% | 9.12 | 10 | 19.1 | 19.0 | ||||||||||
38 | 40 | 20 | Lionel Riou-Durand | MVA | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 19.0 | 97.02% | 7.68 | 8 | 15.7 | 17.4 | ||||||||||
39 | 44 | 21 | Nathan de Lara | MVA | 1 | 0.25 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 0.5 | 1 | 1 | 1 | 16.5 | 97.38% | 8.05 | 8 | 16.1 | 16.3 | ||||||||||
40 | 65 | 21 | Florian Tilquin | MVA | 1 | 1 | 1 | 0.75 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0.75 | 1 | 1 | 0 | 1 | 1 | 0.75 | 0 | 1 | 13.7 | 97.38% | 8.05 | 8 | 16.1 | 14.9 | ||||||||||
41 | 13 | 22 | Mathilde Ralle | MSV | 1 | 0.75 | 1 | 0.75 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.75 | 1 | 0 | 1 | 14.7 | 94.52% | 5.58 | 9 | 14.6 | 14.6 | ||||||||||
42 | 1 | 22 | Jaime Roquero Gimenez | MVA | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 0.75 | 1 | 0.75 | 1 | 1 | 1 | 0.5 | 1 | 0 | 1 | 0.25 | 1 | 0 | 1 | 12.3 | 94.52% | 5.58 | 9 | 14.6 | 13.4 | ||||||||||
43 | 5 | 22 | Lilian Besson | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 20.0 | 94.52% | 5.58 | 9 | 14.6 | 17.3 | ||||||||||
44 | 2 | 23 | Antonin Della Noce | MVA | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 0.75 | 1 | 17.8 | 97.04% | 7.70 | 8 | 15.7 | 16.8 | ||||||||||
45 | 3 | 23 | Sylvestre Rebuffi | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 19.0 | 97.04% | 7.70 | 8 | 15.7 | 17.4 | ||||||||||
46 | 36 | 23 | Theo Saillant | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 0.75 | 1 | 0.75 | 1 | 1 | 18.8 | 97.04% | 7.70 | 8 | 15.7 | 17.3 | ||||||||||
47 | 3 | 24 | Alexandre Corradin | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 19.0 | 95.50% | 6.31 | 7 | 13.3 | 16.2 | ||||||||||
48 | 66 | 25 | Étienne Simon | MVA | 1 | 0.25 | 1 | 1 | 0 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 13.8 | 94.08% | 5.29 | 8 | 13.3 | 13.6 | ||||||||||
49 | 27 | 26 | Nicolas Legroux | Data Science | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 19.7 | 97.14% | 7.80 | 8 | 15.8 | 17.8 | ||||||||||
50 | 9 | 27 | Antoine Miech | Data Science | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.25 | 1 | 0.75 | 1 | 15.1 | 96.62% | 7.29 | 7 | 14.3 | 14.7 | ||||||||||
51 | 38 | 27 | Arnaud Musso | Data Science | 1 | 0 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0.5 | 1 | 15.7 | 96.62% | 7.29 | 7 | 14.3 | 15.0 | ||||||||||
52 | 11 | 28 | Sarah Toledano | MASH | 1 | 0.25 | 1 | 0.75 | 0.75 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 17.4 | 95.08% | 5.99 | 7 | 13.0 | 15.2 | ||||||||||
53 | 20 | 28 | Eden Itah | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 19.2 | 95.08% | 5.99 | 7 | 13.0 | 16.1 | ||||||||||
54 | 32 | 28 | Aurélie Chekroun Martinot | MASH | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 18.6 | 95.08% | 5.99 | 7 | 13.0 | 15.8 | ||||||||||
55 | 70 | 29 | Polykarpos Meladianos | Data Science | 1 | 0 | 1 | 1 | 0.5 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0.75 | 1 | 0 | 1 | 0 | 0.5 | 0 | 1 | 8.4 | 94.48% | 5.56 | 6 | 11.6 | 10.0 | ||||||||||
56 | 10 | 30 | Pierre BIOCHE | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 19.2 | 95.06% | 5.97 | 6 | 12.0 | 15.6 | ||||||||||
57 | 22 | 30 | Amine Hadji | MASH | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0.75 | 1 | 18.1 | 95.06% | 5.97 | 6 | 12.0 | 15.1 | ||||||||||
58 | 32 | 30 | Mehdi Berthe | MASH | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 18.6 | 95.06% | 5.97 | 6 | 12.0 | 15.3 | ||||||||||
59 | 37 | 31 | Felicien Barluet | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.25 | 0.25 | 0 | 1 | 12.7 | 95.78% | 6.54 | 7 | 13.5 | 13.1 | ||||||||||
60 | 57 | 31 | Hatim Belyasmine | MVA | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0 | 0 | 1 | 1 | 0.75 | 0 | 1 | 14.9 | 95.78% | 6.54 | 7 | 13.5 | 14.2 | ||||||||||
61 | 35 | 32 | Kevin Bienvenu | MVA | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0.25 | 0 | 0 | 5.3 | 88.62% | 2.88 | 6 | 8.9 | 7.1 | OK => 10 | |||||||||
62 | 42 | 32 | Aleksander Callebat | MVA | 1 | 0 | 1 | 1 | 0 | 0.5 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0 | 0.75 | 0 | 0 | 5.7 | 88.62% | 2.88 | 6 | 8.9 | 7.3 | not ok | |||||||||
63 | 12 | 33 | Dayron Cohen | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.5 | 1 | 0.75 | 1 | 17.1 | 94.14% | 5.33 | 7 | 12.3 | 14.7 | ||||||||||
64 | 20 | 33 | Haik Isaac | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 19.2 | 94.14% | 5.33 | 7 | 12.3 | 15.8 | ||||||||||
65 | 9 | 34 | Eliot Barril | Data Science | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.25 | 1 | 0.75 | 1 | 15.1 | 95.32% | 6.17 | 7 | 13.2 | 14.1 | ||||||||||
66 | 14 | 34 | Mayeul Picard | Data Science | 1 | 1 | 1 | 0.75 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0.75 | 0 | 0 | 1 | 0.25 | 1 | 0.25 | 1 | 12.0 | 95.32% | 6.17 | 7 | 13.2 | 12.6 | ||||||||||
67 | 26 | 34 | Timothee Boulet | Data Science | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0 | 1 | 0.5 | 1 | 13.9 | 95.32% | 6.17 | 7 | 13.2 | 13.5 | ||||||||||
68 | 47 | 35 | Alain Soltani | Data Science | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.25 | 1 | 0.75 | 1 | 16.3 | 96.58% | 7.25 | 7 | 14.3 | 15.3 | ||||||||||
69 | 31 | 35 | Arthur Pajot | MVA | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0.25 | 1 | 0.75 | 1 | 13.9 | 96.58% | 7.25 | 7 | 14.3 | 14.1 | ||||||||||
70 | 39 | 35 | Pascal Adam Sitbon | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 20.0 | 96.58% | 7.25 | 7 | 14.3 | 17.1 | ||||||||||
71 | 62 | 36 | Hugues THOMAS | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.25 | 1 | 0.5 | 1 | 15.5 | 97.26% | 7.93 | 7 | 14.9 | 15.2 | ||||||||||
72 | 8 | 37 | Wiem Gharbi | Data Science | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.5 | 0.75 | 0.5 | 1 | 16.0 | 97.32% | 7.99 | 8 | 16.0 | 16.0 | ||||||||||
73 | 16 | 37 | Baptiste Roziere | Data Science | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.25 | 1 | 0.5 | 1 | 13.7 | 97.32% | 7.99 | 8 | 16.0 | 14.9 | ||||||||||
74 | 19 | 37 | Igor Koval | Data Science | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.25 | 1 | 0.75 | 1 | 15.9 | 97.32% | 7.99 | 8 | 16.0 | 15.9 | ||||||||||
75 | 37 | 38 | Charles Darmon | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.25 | 0.25 | 0 | 1 | 12.7 | 94.56% | 5.61 | 7 | 12.6 | 12.7 | ||||||||||
76 | 57 | 38 | Marin Robert de Beauchamp | MVA | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0 | 0 | 1 | 1 | 0.75 | 0 | 1 | 14.9 | 94.56% | 5.61 | 7 | 12.6 | 13.8 | ||||||||||
77 | 80 | 39 | Maha Elbayad | MVA | 1 | 1 | 1 | 1 | 0.75 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.5 | 0.75 | 0 | 0 | -4 | 9.7 | 97.42% | 8.10 | 9 | 17.1 | 13.4 | |||||||||
78 | 21 | 40 | Thomas Angles | MVA | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 19.4 | 98.72% | 9.63 | 9 | 18.6 | 19.0 | ||||||||||
79 | 28 | 40 | Batiste Le Bars | MVA | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 0.75 | 1 | 17.6 | 98.72% | 9.63 | 9 | 18.6 | 18.1 | ||||||||||
80 | 47 | 41 | Arnaud Lecoules | Data Science | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.25 | 1 | 0.75 | 1 | 16.3 | 94.78% | 5.77 | 7 | 12.8 | 14.5 | ||||||||||
81 | 31 | 41 | Jeremie Dona | MVA | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0.25 | 1 | 0.75 | 1 | 13.9 | 94.78% | 5.77 | 7 | 12.8 | 13.3 | ||||||||||
82 | 48 | 41 | Sylvain Puyravaud | MVA | 1 | 0.25 | 1.3 | 0.75 | 0 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0 | 0 | 1 | 0 | 1 | 0.25 | 0.5 | 0.75 | 1 | 11.0 | 94.78% | 5.77 | 7 | 12.8 | 11.9 | ||||||||||
83 | 10 | 42 | Alexis FREMOND | MASH | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 19.2 | 95.44% | 6.27 | 7 | 13.3 | 16.2 | ||||||||||
84 | 22 | 42 | Benoit Desvignes | MASH | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0.75 | 1 | 18.1 | 95.44% | 6.27 | 7 | 13.3 | 15.7 | ||||||||||
85 | 32 | 42 | Mohamed Ali Hamriti | MASH | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 18.6 | 95.44% | 6.27 | 7 | 13.3 | 15.9 | ||||||||||
86 | 30 | 43 | Benslimane Mohammed | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 18.8 | 94.18% | 5.35 | 7 | 12.4 | 15.6 | ||||||||||
87 | 73 | 43 | Youness MANSAR | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 18.8 | 94.18% | 5.35 | 7 | 12.4 | 15.6 | ||||||||||
88 | 71 | 44 | Gigli Leonardo | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 19.8 | 88.74% | 2.91 | 6 | 8.9 | 14.4 | ||||||||||
89 | 76 | 44 | Anissa REBZANI | MVA | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.25 | 0.75 | 0 | 1 | 12.0 | 88.74% | 2.91 | 6 | 8.9 | 10.4 | ||||||||||
90 | 14 | 45 | Johan Ferret | Data Science | 1 | 1 | 1 | 0.75 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0.75 | 0 | 0 | 1 | 0.25 | 1 | 0.25 | 1 | 12.0 | 97.60% | 8.29 | 8 | 16.3 | 14.1 | ||||||||||
91 | 26 | 45 | Martin Delzant | Data Science | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0 | 1 | 0.5 | 1 | 13.9 | 97.60% | 8.29 | 8 | 16.3 | 15.1 | ||||||||||
92 | 28 | 45 | Muriel Nahmani | MVA | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 0.75 | 1 | 17.6 | 97.60% | 8.29 | 8 | 16.3 | 17.0 | ||||||||||
93 | 21 | 46 | Genevieve Robin | MVA | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 19.4 | 96.30% | 6.99 | 8 | 15.0 | 17.2 | ||||||||||
94 | 28 | 46 | Kevin Elgui | MVA | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 0.75 | 1 | 17.6 | 96.30% | 6.99 | 8 | 15.0 | 16.3 | ||||||||||
95 | 72 | 46 | Pierre de Sainte Agathe | MVA | 1 | 0 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 14.9 | 96.30% | 6.99 | 8 | 15.0 | 14.9 | ||||||||||
96 | 46 | 47 | Bruno Ly | Data Science | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0.5 | 0.5 | 0 | 1 | 12.5 | 95.52% | 6.33 | 6 | 12.3 | 12.4 | ||||||||||
97 | 74 | 47 | Sofia Hafdani | Data Science | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 0.75 | 1 | 1 | 1 | 0.5 | 0.75 | 1 | 1 | 17.1 | 95.52% | 6.33 | 6 | 12.3 | 14.7 | ||||||||||
98 | 73 | 47 | Abdessamad HAMMOUCHE | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 0.75 | 1 | 1 | 1 | 18.8 | 95.52% | 6.33 | 6 | 12.3 | 15.6 | ||||||||||
99 | 38 | 48 | Thai-Chau Truong | MVA | 1 | 0 | 1 | 0.75 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0.5 | 1 | 15.7 | 97.24% | 7.91 | 8 | 15.9 | 15.8 | ||||||||||
100 | 64 | 48 | Ivan Novikov | MVA | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.75 | 1 | 0.75 | 1 | 18.2 | 97.24% | 7.91 | 8 | 15.9 | 17.1 |